Results for 'AI Ethics and Justice, Fairness and Non-Discrimination, Biased Data Training, Public Deliberation, Autonomy, Human-Centered Approach'

941 found
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  1.  12
    Can AI Achieve Common Good and Well-being? Implementing the NSTC's R&D Guidelines with a Human-Centered Ethical Approach.Jr-Jiun Lian - 2024 - 2024 Annual Conference on Science, Technology, and Society (Sts) Academic Paper, National Taitung University(2024科技與社會(Sts)年會年度學術研討會論文 ,國立臺東大學。). Translated by Jr-Jiun Lian.
    This paper delves into the significance and challenges of Artificial Intelligence (AI) ethics and justice in terms of Common Good and Well-being, fairness and non-discrimination, rational public deliberation, and autonomy and control. Initially, the paper establishes the groundwork for subsequent discussions using the Academia Sinica LLM incident and the AI Technology R&D Guidelines of the National Science and Technology Council(NSTC) as a starting point. In terms of justice and ethics in AI, this research investigates whether AI (...)
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  2. The emergence of “truth machines”?: Artificial intelligence approaches to lie detection.Jo Ann Oravec - 2022 - Ethics and Information Technology 24 (1):1-10.
    This article analyzes emerging artificial intelligence (AI)-enhanced lie detection systems from ethical and human resource (HR) management perspectives. I show how these AI enhancements transform lie detection, followed with analyses as to how the changes can lead to moral problems. Specifically, I examine how these applications of AI introduce human rights issues of fairness, mental privacy, and bias and outline the implications of these changes for HR management. The changes that AI is making to lie detection are (...)
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  3. Learning to Discriminate: The Perfect Proxy Problem in Artificially Intelligent Criminal Sentencing.Benjamin Davies & Thomas Douglas - 2022 - In Jesper Ryberg & Julian V. Roberts (eds.), Sentencing and Artificial Intelligence. Oxford: OUP.
    It is often thought that traditional recidivism prediction tools used in criminal sentencing, though biased in many ways, can straightforwardly avoid one particularly pernicious type of bias: direct racial discrimination. They can avoid this by excluding race from the list of variables employed to predict recidivism. A similar approach could be taken to the design of newer, machine learning-based (ML) tools for predicting recidivism: information about race could be withheld from the ML tool during its training phase, ensuring (...)
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  4. L'etica del Novecento. Dopo Nietzsche.Sergio Cremaschi - 2005 - Roma RM, Italia: Carocci.
    TWENTIETH-CENTURY ETHICS. AFTER NIETZSCHE -/- Preface This book tells the story of twentieth-century ethics or, in more detail, it reconstructs the history of a discussion on the foundations of ethics which had a start with Nietzsche and Sidgwick, the leading proponents of late-nineteenth-century moral scepticism. During the first half of the century, the prevailing trends tended to exclude the possibility of normative ethics. On the Continent, the trend was to transform ethics into a philosophy of (...)
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  5. (1 other version)A united framework of five principles for AI in society.Luciano Floridi & Josh Cowls - 2019 - Harvard Data Science Review 1 (1).
    Artificial Intelligence (AI) is already having a major impact on society. As a result, many organizations have launched a wide range of initiatives to establish ethical principles for the adoption of socially beneficial AI. Unfortunately, the sheer volume of proposed principles threatens to overwhelm and confuse. How might this problem of ‘principle proliferation’ be solved? In this paper, we report the results of a fine-grained analysis of several of the highest-profile sets of ethical principles for AI. We assess whether these (...)
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  6. Machine learning in bail decisions and judges’ trustworthiness.Alexis Morin-Martel - 2023 - AI and Society:1-12.
    The use of AI algorithms in criminal trials has been the subject of very lively ethical and legal debates recently. While there are concerns over the lack of accuracy and the harmful biases that certain algorithms display, new algorithms seem more promising and might lead to more accurate legal decisions. Algorithms seem especially relevant for bail decisions, because such decisions involve statistical data to which human reasoners struggle to give adequate weight. While getting the right legal outcome is (...)
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  7. Pandemic surveillance: ethics at the intersection of information, research, and health.Daniel Susser - 2022 - In Margaret Hu (ed.), Pandemic Surveillance: Privacy, Security, and Data Ethics. Cheltenham, UK: Edward Elgar. pp. 187-196.
    This chapter provides a high-level overview of key ethical issues raised by the use of surveillance technologies, such as digital contact tracing, disease surveillance, and vaccine passports, to combat the COVID-19 pandemic. To some extent, these issues are entirely familiar. I argue that they raise old questions in new form and with new urgency, at the intersection of information ethics, research ethics, and public health. Whenever we deal with data-driven technologies, we have to ask how they (...)
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  8. Public Preferences about Fairness and the Ethics of Allocating Scarce Medical Interventions.Govind Persad - 2017 - In Meng Li & David P. Tracer (eds.), Interdisciplinary Perspectives on Fairness, Equity, and Justice. Springer. pp. 51-65.
    This chapter examines how social- scientific research on public preferences bears on the ethical question of how those resources should in fact be allocated, and explain how social-scientific researchers might find an understanding of work in ethics useful as they design mechanisms for data collection and analysis. I proceed by first distinguishing the methodologies of social science and ethics. I then provide an overview of different approaches to the ethics of allocating scarce medical interventions, including (...)
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  9. Ethical Implications of Alzheimer’s Disease Prediction in Asymptomatic Individuals Through Artificial Intelligence.Frank Ursin, Cristian Timmermann & Florian Steger - 2021 - Diagnostics 11 (3):440.
    Biomarker-based predictive tests for subjectively asymptomatic Alzheimer’s disease (AD) are utilized in research today. Novel applications of artificial intelligence (AI) promise to predict the onset of AD several years in advance without determining biomarker thresholds. Until now, little attention has been paid to the new ethical challenges that AI brings to the early diagnosis in asymptomatic individuals, beyond contributing to research purposes, when we still lack adequate treatment. The aim of this paper is to explore the ethical arguments put forward (...)
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  10. Conflicting Aims and Values in the Application of Smart Sensors in Geriatric Rehabilitation: Ethical Analysis.Christopher Predel, Cristian Timmermann, Frank Ursin, Marcin Orzechowski, Timo Ropinski & Florian Steger - 2022 - JMIR mHealth and uHealth 10 (6):e32910.
    Background: Smart sensors have been developed as diagnostic tools for rehabilitation to cover an increasing number of geriatric patients. They promise to enable an objective assessment of complex movement patterns. -/- Objective: This research aimed to identify and analyze the conflicting ethical values associated with smart sensors in geriatric rehabilitation and provide ethical guidance on the best use of smart sensors to all stakeholders, including technology developers, health professionals, patients, and health authorities. -/- Methods: On the basis of a systematic (...)
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  11. A principlist-based study of the ethical design and acceptability of artificial social agents.Paul Formosa - 2023 - International Journal of Human-Computer Studies 172.
    Artificial Social Agents (ASAs), which are AI software driven entities programmed with rules and preferences to act autonomously and socially with humans, are increasingly playing roles in society. As their sophistication grows, humans will share greater amounts of personal information, thoughts, and feelings with ASAs, which has significant ethical implications. We conducted a study to investigate what ethical principles are of relative importance when people engage with ASAs and whether there is a relationship between people’s values and the ethical principles (...)
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  12. Algorithmic Fairness and Structural Injustice: Insights from Feminist Political Philosophy.Atoosa Kasirzadeh - 2022 - Aies '22: Proceedings of the 2022 Aaai/Acm Conference on Ai, Ethics, and Society.
    Data-driven predictive algorithms are widely used to automate and guide high-stake decision making such as bail and parole recommendation, medical resource distribution, and mortgage allocation. Nevertheless, harmful outcomes biased against vulnerable groups have been reported. The growing research field known as 'algorithmic fairness' aims to mitigate these harmful biases. Its primary methodology consists in proposing mathematical metrics to address the social harms resulting from an algorithm's biased outputs. The metrics are typically motivated by -- or substantively (...)
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  13. Relational Solidarity and Climate Change.Michael D. Doan & Susan Sherwin - 2016 - In Cheryl Macpherson (ed.), Climate Change and Health: Bioethical Insights into Values and Policy. Springer. pp. 79-88.
    The evidence is overwhelming that members of particularly wealthy and industry-owning segments of Western societies have much larger carbon footprints than most other humans, and thereby contribute far more than their “fair share” to the enormous problem of climate change. Nonetheless, in this paper we shall counsel against a strategy focused primarily on blaming and shaming and propose, instead, a change in the ethical conversation about climate change. We recommend a shift in the ethical framework from a focus on the (...)
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  14. Democratic Deliberation and the Ethical Review of Human Subjects Research.Govind Persad - 2014 - In I. Glenn Cohen & Holly Fernandez Lynch (eds.), Human Subjects Research Regulation: Perspectives on the Future. Cambridge, Massachusetts: MIT Press. pp. 157-72.
    In the United States, the Presidential Commission for the Study of Bioethical Issues has proposed deliberative democracy as an approach for dealing with ethical issues surrounding synthetic biology. Deliberative democracy might similarly help us as we update the regulation of human subjects research. This paper considers how the values that deliberative democratic engagement aims to realize can be realized in a human subjects research context. Deliberative democracy is characterized by an ongoing exchange of ideas between participants, and (...)
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  15. Supporting human autonomy in AI systems.Rafael Calvo, Dorian Peters, Karina Vold & Richard M. Ryan - 2020 - In Christopher Burr & Luciano Floridi (eds.), Ethics of digital well-being: a multidisciplinary approach. Springer.
    Autonomy has been central to moral and political philosophy for millenia, and has been positioned as a critical aspect of both justice and wellbeing. Research in psychology supports this position, providing empirical evidence that autonomy is critical to motivation, personal growth and psychological wellness. Responsible AI will require an understanding of, and ability to effectively design for, human autonomy (rather than just machine autonomy) if it is to genuinely benefit humanity. Yet the effects on human autonomy of digital (...)
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  16. W poszukiwaniu ontologicznych podstaw prawa. Arthura Kaufmanna teoria sprawiedliwości [In Search for Ontological Foundations of Law: Arthur Kaufmann’s Theory of Justice].Marek Piechowiak - 1992 - Instytut Nauk Prawnych PAN.
    Arthur Kaufmann is one of the most prominent figures among the contemporary philosophers of law in German speaking countries. For many years he was a director of the Institute of Philosophy of Law and Computer Sciences for Law at the University in Munich. Presently, he is a retired professor of this university. Rare in the contemporary legal thought, Arthur Kaufmann's philosophy of law is one with the highest ambitions — it aspires to pinpoint the ultimate foundations of law by explicitly (...)
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  17. The impact of intelligent decision-support systems on humans’ ethical decision-making: A systematic literature review and an integrated framework.Franziska Poszler & Benjamin Lange - forthcoming - Technological Forecasting and Social Change.
    With the rise and public accessibility of AI-enabled decision-support systems, individuals outsource increasingly more of their decisions, even those that carry ethical dimensions. Considering this trend, scholars have highlighted that uncritical deference to these systems would be problematic and consequently called for investigations of the impact of pertinent technology on humans’ ethical decision-making. To this end, this article conducts a systematic review of existing scholarship and derives an integrated framework that demonstrates how intelligent decision-support systems (IDSSs) shape humans’ ethical (...)
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  18. Justice, Diversity, and Dialogue: Rawlsian Multiculturalism.Ashwani Kumar Peetush - 2014 - In L. Beaman & S. Sikka (eds.), Multiculturalism and Religious Identity: Canada and India. pp. 153-168.
    In this chapter, I argue that John Rawls’ later work presents one of the most fruitful liberal frameworks from which to approach global cultural diversity. In his Law of Peoples (1999), the normative architecture Rawls provides is much more open to an intercultural/religious dialogue with various non-Western communities, such as the First Nations, than are other liberal approaches. Surprisingly, this has gone unnoticed in the literature on multiculturalism. At the same time, Rawls’ framework is not problem free. Here, I (...)
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  19. Editorial, Cosmopolis. Spirituality, religion and politics.Paul Ghils - 2015 - Cosmopolis. A Journal of Cosmopolitics 7 (3-4).
    Cosmopolis A Review of Cosmopolitics -/- 2015/3-4 -/- Editorial Dominique de Courcelles & Paul Ghils -/- This issue addresses the general concept of “spirituality” as it appears in various cultural contexts and timeframes, through contrasting ideological views. Without necessarily going back to artistic and religious remains of primitive men, which unquestionably show pursuits beyond the biophysical dimension and illustrate practices seeking to unveil the hidden significance of life and death, the following papers deal with a number of interpretations covering a (...)
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  20. Deconstructing ‘justice’ and reconstructing ‘fairness’ in a convergent European justice system: an Aristotelian approach to the question of representation of justice in Europe.Theo Gavrielides & Masson A. (eds.) - 2007 - Brussels: PIE Peter Lang.
    ‘Justice’ is spoken of in two ways: the lawful and the fair. The law is a human construct that is devoted to the advantage of all, or to the advantage of the best, or to the advantage of those in power or to the advantage of those representing it – let it be the politician, the media, the TV presenter, the filmmaker. Thus, the law serves the production or the preservation of happiness within politics and business. The law commands (...)
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  21. Kantian Ethics in the Age of Artificial Intelligence and Robotics.Ozlem Ulgen - 2017 - Questions of International Law 1 (43):59-83.
    Artificial intelligence and robotics is pervasive in daily life and set to expand to new levels potentially replacing human decision-making and action. Self-driving cars, home and healthcare robots, and autonomous weapons are some examples. A distinction appears to be emerging between potentially benevolent civilian uses of the technology (eg unmanned aerial vehicles delivering medicines), and potentially malevolent military uses (eg lethal autonomous weapons killing human com- batants). Machine-mediated human interaction challenges the philosophical basis of human existence (...)
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  22. (1 other version) Ethical AI at work: the social contract for Artificial Intelligence and its implications for the workplace psychological contract.Sarah Bankins & Paul Formosa - 2021 - In Sarah Bankins & Paul Formosa (eds.), Ethical AI at Work: The Social Contract for Artificial Intelligence and Its Implications for the Workplace Psychological Contract. Cham, Switzerland: pp. 55-72.
    Artificially intelligent (AI) technologies are increasingly being used in many workplaces. It is recognised that there are ethical dimensions to the ways in which organisations implement AI alongside, or substituting for, their human workforces. How will these technologically driven disruptions impact the employee–employer exchange? We provide one way to explore this question by drawing on scholarship linking Integrative Social Contracts Theory (ISCT) to the psychological contract (PC). Using ISCT, we show that the macrosocial contract’s ethical AI norms of beneficence, (...)
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  23. Algorithmic Fairness from a Non-ideal Perspective.Sina Fazelpour & Zachary C. Lipton - 2020 - Proceedings of the AAAI/ACM Conference on AI, Ethics, and Society.
    Inspired by recent breakthroughs in predictive modeling, practitioners in both industry and government have turned to machine learning with hopes of operationalizing predictions to drive automated decisions. Unfortunately, many social desiderata concerning consequential decisions, such as justice or fairness, have no natural formulation within a purely predictive framework. In efforts to mitigate these problems, researchers have proposed a variety of metrics for quantifying deviations from various statistical parities that we might expect to observe in a fair world and offered (...)
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  24. Public Health and Safety: The Social Determinants of Health and Criminal Behavior.Gregg D. Caruso - 2017 - London, UK: ResearchLinks Books.
    There are a number of important links and similarities between public health and safety. In this extended essay, Gregg D. Caruso defends and expands his public health-quarantine model, which is a non-retributive alternative for addressing criminal behavior that draws on the public health framework and prioritizes prevention and social justice. In developing his account, he explores the relationship between public health and safety, focusing on how social inequalities and systemic injustices affect health outcomes and crime rates, (...)
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  25.  23
    AI training data, model success likelihood, and informational entropy-based value.Quan-Hoang Vuong, Viet-Phuong La & Minh-Hoang Nguyen - manuscript
    Since the release of OpenAI's ChatGPT, the world has entered a race to develop more capable and powerful AI, including artificial general intelligence (AGI). The development is constrained by the dependency of AI on the model, quality, and quantity of training data, making the AI training process highly costly in terms of resources and environmental consequences. Thus, improving the effectiveness and efficiency of the AI training process is essential, especially when the Earth is approaching the climate tipping points and (...)
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  26. Excavating “Excavating AI”: The Elephant in the Gallery.Michael J. Lyons - 2020 - arXiv 2009:1-15.
    Two art exhibitions, “Training Humans” and “Making Faces,” and the accompanying essay “Excavating AI: The politics of images in machine learning training sets” by Kate Crawford and Trevor Paglen, are making substantial impact on discourse taking place in the social and mass media networks, and some scholarly circles. Critical scrutiny reveals, however, a self-contradictory stance regarding informed consent for the use of facial images, as well as serious flaws in their critique of ML training sets. Our analysis underlines the non-negotiability (...)
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  27. Fair climate policy in an unequal world: Characterising responsibilities and designing institutions for mitigation and international finance.Jonathan Pickering - 2013 - Dissertation, Australian National University
    The urgent need to address climate change poses a range of complex moral and practical concerns, not least because rising to the challenge will require cooperation among countries that differ greatly in their wealth, the extent of their contributions to the problem, and their vulnerability to environmental and economic shocks. This thesis by publication in the field of climate ethics aims to characterise a range of national responsibilities associated with acting on climate change (Part I), and to identify proposals (...)
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  28. Towards a digital ethics: EDPS ethics advisory group.J. Peter Burgess, Luciano Floridi, Aurélie Pols & Jeroen van den Hoven - 2018 - EDPS Ethics Advisory Group.
    The EDPS Ethics Advisory Group (EAG) has carried out its work against the backdrop of two significant social-political moments: a growing interest in ethical issues, both in the public and in the private spheres and the imminent entry into force of the General Data Protection Regulation (GDPR) in May 2018. For some, this may nourish a perception that the work of the EAG represents a challenge to data protection professionals, particularly to lawyers in the field, as (...)
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  29.  76
    Artificial intelligence and human autonomy: the case of driving automation.Fabio Fossa - 2024 - AI and Society:1-12.
    The present paper aims at contributing to the ethical debate on the impacts of artificial intelligence (AI) systems on human autonomy. More specifically, it intends to offer a clearer understanding of the design challenges to the effort of aligning driving automation technologies to this ethical value. After introducing the discussion on the ambiguous impacts that AI systems exert on human autonomy, the analysis zooms in on how the problem has been discussed in the literature on connected and automated (...)
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  30. The algorithm audit: Scoring the algorithms that score us.Jovana Davidovic, Shea Brown & Ali Hasan - 2021 - Big Data and Society 8 (1).
    In recent years, the ethical impact of AI has been increasingly scrutinized, with public scandals emerging over biased outcomes, lack of transparency, and the misuse of data. This has led to a growing mistrust of AI and increased calls for mandated ethical audits of algorithms. Current proposals for ethical assessment of algorithms are either too high level to be put into practice without further guidance, or they focus on very specific and technical notions of fairness or (...)
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  31. Foundations of Ancient Ethics/Grundlagen Der Antiken Ethik.Jörg Hardy & George Rudebusch - 2014 - Göttingen, Germany: Vandenhoek.
    This book is an anthology with the following themes. Non-European Tradition: Bussanich interprets main themes of Hindu ethics, including its roots in ritual sacrifice, its relationship to religious duty, society, individual human well-being, and psychic liberation. To best assess the truth of Hindu ethics, he argues for dialogue with premodern Western thought. Pfister takes up the question of human nature as a case study in Chinese ethics. Is our nature inherently good (as Mengzi argued) or (...)
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  32. Turning queries into questions: For a plurality of perspectives in the age of AI and other frameworks with limited (mind)sets.Claudia Westermann & Tanu Gupta - 2023 - Technoetic Arts 21 (1):3-13.
    The editorial introduces issue 21.1 of Technoetic Arts via a critical reflection on the artificial intelligence hype (AI hype) that emerged in 2022. Tracing the history of the critique of Large Language Models, the editorial underscores that there are substantial ethical challenges related to bias in the training data, copyright issues, as well as ecological challenges which the technology industry has consistently downplayed over the years. -/- The editorial highlights the distinction between the current AI technology’s reliance on extensive (...)
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  33. The Virtues of Limits.David McPherson - 2022 - Oxford, UK: Oxford University Press.
    Human beings seek to transcend limits. This is part of our potential greatness, since it is how we can realize what is best in our humanity. However, the limit-transcending feature of human life is also part of our potential downfall, as it can lead to dehumanization and failure to attain important human goods and to prevent human evils. Exploring the place of limits within a well-lived human life this work develops and defends an original account (...)
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  34. Artificial Evil and the Foundation of Computer Ethics.Luciano Floridi & J. W. Sanders - 2001 - Springer Netherlands. Edited by Luciano Floridi & J. W. Sanders.
    Moral reasoning traditionally distinguishes two types of evil:moral (ME) and natural (NE). The standard view is that ME is the product of human agency and so includes phenomena such as war,torture and psychological cruelty; that NE is the product of nonhuman agency, and so includes natural disasters such as earthquakes, floods, disease and famine; and finally, that more complex cases are appropriately analysed as a combination of ME and NE. Recently, as a result of developments in autonomous agents in (...)
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  35. Precision Medicine and Big Data: The Application of an Ethics Framework for Big Data in Health and Research.G. Owen Schaefer, E. Shyong Tai & Shirley Sun - 2019 - Asian Bioethics Review 11 (3):275-288.
    As opposed to a ‘one size fits all’ approach, precision medicine uses relevant biological, medical, behavioural and environmental information about a person to further personalize their healthcare. This could mean better prediction of someone’s disease risk and more effective diagnosis and treatment if they have a condition. Big data allows for far more precision and tailoring than was ever before possible by linking together diverse datasets to reveal hitherto-unknown correlations and causal pathways. But it also raises ethical issues (...)
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  36. Bio-ethics and one health: a case study approach to building reflexive governance.Antoine Boudreau LeBlanc, Bryn Williams-Jones & Cécile Aenishaenslin - 2022 - Frontiers in Public Health 10 (648593).
    Surveillance programs supporting the management of One Health issues such as antibiotic resistance are complex systems in themselves. Designing ethical surveillance systems is thus a complex task (retroactive and iterative), yet one that is also complicated to implement and evaluate (e.g., sharing, collaboration, and governance). The governance of health surveillance requires attention to ethical concerns about data and knowledge (e.g., performance, trust, accountability, and transparency) and empowerment ethics, also referred to as a form of responsible self-governance. Ethics (...)
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  37. Unjustified untrue "beliefs": AI hallucinations and justification logics.Kristina Šekrst - forthcoming - In Kordula Świętorzecka, Filip Grgić & Anna Brozek (eds.), Logic, Knowledge, and Tradition. Essays in Honor of Srecko Kovac.
    In artificial intelligence (AI), responses generated by machine-learning models (most often large language models) may be unfactual information presented as a fact. For example, a chatbot might state that the Mona Lisa was painted in 1815. Such phenomenon is called AI hallucinations, seeking inspiration from human psychology, with a great difference of AI ones being connected to unjustified beliefs (that is, AI “beliefs”) rather than perceptual failures). -/- AI hallucinations may have their source in the data itself, that (...)
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  38. Developing an Ethic of Justice: Maududi and the Solidarity Youth Movement.Thahir Jamal Kiliyamannil - 2022 - American Journal of Islam and Society 39 (1-2):115–145.
    New Muslim movements in South India, such as the Solidarity Youth movement, re-formulated Muslim priorities towards human rights, democracy, development, environmental activism, and minorities. I read Solidarity Youth Movement as proposing an ethic of Islam’s conception of justice, while also drawing inspiration from the influential Islamist Abul A’la Maududi. Focusing on jurisprudential debates, I look at the ways in which Maududi’s intervention informs the praxis of Solidarity Youth Movement. This paper seeks the possibility of examining their activism as an (...)
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  39. A Ghost Workers' Bill of Rights: How to Establish a Fair and Safe Gig Work Platform.Julian Friedland, David Balkin & Ramiro Montealegre - 2020 - California Management Review 62 (2).
    Many of us assume that all the free editing and sorting of online content we ordinarily rely on is carried out by AI algorithms — not human persons. Yet in fact, that is often not the case. This is because human workers remain cheaper, quicker, and more reliable than AI for performing myriad tasks where the right answer turns on ineffable contextual criteria too subtle for algorithms to yet decode. The output of this work is then used for (...)
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  40. Public health ethics and liberalism.Lubomira V. Radoilska - 2009 - Public Health Ethics 2 (2):135-145.
    This paper defends a distinctly liberal approach to public health ethics and replies to possible objections. In particular, I look at a set of recent proposals aiming to revise and expand liberalism in light of public health's rationale and epidemiological findings. I argue that they fail to provide a sociologically informed version of liberalism. Instead, they rest on an implicit normative premise about the value of health, which I show to be invalid. I then make explicit (...)
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  41. Architecture and Deconstruction. The Case of Peter Eisenman and Bernard Tschumi.Cezary Wąs - 2015 - Dissertation, University of Wrocław
    Architecture and Deconstruction Case of Peter Eisenman and Bernard Tschumi -/- Introduction Towards deconstruction in architecture Intensive relations between philosophical deconstruction and architecture, which were present in the late 1980s and early 1990s, belong to the past and therefore may be described from a greater than before distance. Within these relations three basic variations can be distinguished: the first one, in which philosophy of deconstruction deals with architectural terms but does not interfere with real architecture, the second one, in which (...)
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  42. Ethical Issues with Artificial Ethics Assistants.Elizabeth O'Neill, Michal Klincewicz & Michiel Kemmer - 2023 - In Carissa Véliz (ed.), The Oxford Handbook of Digital Ethics. Oxford University Press.
    This chapter examines the possibility of using AI technologies to improve human moral reasoning and decision-making, especially in the context of purchasing and consumer decisions. We characterize such AI technologies as artificial ethics assistants (AEAs). We focus on just one part of the AI-aided moral improvement question: the case of the individual who wants to improve their morality, where what constitutes an improvement is evaluated by the individual’s own values. We distinguish three broad areas in which an individual (...)
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  43. Artificial evil and the foundation of computer ethics.L. Floridi & J. Sanders - 2000 - Etica E Politica 2 (2).
    Moral reasoning traditionally distinguishes two types of evil: moral and natural. The standard view is that ME is the product of human agency and so includes phenomena such as war, torture and psychological cruelty; that NE is the product of nonhuman agency, and so includes natural disasters such as earthquakes, floods, disease and famine; and finally, that more complex cases are appropriately analysed as a combination of ME and NE. Recently, as a result of developments in autonomous agents in (...)
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  44. Climate Change and Justice: A Non-Welfarist Treaty Negotiation Framework.Alyssa R. Bernstein - 2015 - Ethics, Policy and Environment 18 (2):123-145.
    Obstacles to achieving a global climate treaty include disagreements about questions of justice raised by the UNFCCC's principle that countries should respond to climate change by taking cooperative action "in accordance with their common but differentiated responsibilities and respective capabilities and their social and economic conditions". Aiming to circumvent such disagreements, Climate Change Justice authors Eric Posner and David Weisbach argue against shaping treaty proposals according to requirements of either distributive or corrective justice. The USA's climate envoy, Todd Stern, takes (...)
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  45. Disambiguating Algorithmic Bias: From Neutrality to Justice.Elizabeth Edenberg & Alexandra Wood - 2023 - In Francesca Rossi, Sanmay Das, Jenny Davis, Kay Firth-Butterfield & Alex John (eds.), AIES '23: Proceedings of the 2023 AAAI/ACM Conference on AI, Ethics, and Society. Association for Computing Machinery. pp. 691-704.
    As algorithms have become ubiquitous in consequential domains, societal concerns about the potential for discriminatory outcomes have prompted urgent calls to address algorithmic bias. In response, a rich literature across computer science, law, and ethics is rapidly proliferating to advance approaches to designing fair algorithms. Yet computer scientists, legal scholars, and ethicists are often not speaking the same language when using the term ‘bias.’ Debates concerning whether society can or should tackle the problem of algorithmic bias are hampered by (...)
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  46. Ethical assessments and mitigation strategies for biases in AI-systems used during the COVID-19 pandemic.Alicia De Manuel, Janet Delgado, Parra Jonou Iris, Txetxu Ausín, David Casacuberta, Maite Cruz Piqueras, Ariel Guersenzvaig, Cristian Moyano, David Rodríguez-Arias, Jon Rueda & Angel Puyol - 2023 - Big Data and Society 10 (1).
    The main aim of this article is to reflect on the impact of biases related to artificial intelligence (AI) systems developed to tackle issues arising from the COVID-19 pandemic, with special focus on those developed for triage and risk prediction. A secondary aim is to review assessment tools that have been developed to prevent biases in AI systems. In addition, we provide a conceptual clarification for some terms related to biases in this particular context. We focus mainly on nonracial biases (...)
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  47. The Public Health-Quarantine Model.Gregg D. Caruso - 2022 - In Dana Kay Nelkin & Derk Pereboom (eds.), The Oxford Handbook of Moral Responsibility. New York: Oxford University Press.
    One of the most frequently voiced criticisms of free will skepticism is that it is unable to adequately deal with criminal behavior and that the responses it would permit as justified are insufficient for acceptable social policy. This concern is fueled by two factors. The first is that one of the most prominent justifications for punishing criminals, retributivism, is incompatible with free will skepticism. The second concern is that alternative justifications that are not ruled out by the skeptical view per (...)
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  48. Habermas and the Question of Bioethics.Hille Haker - 2019 - European Journal for Philosophy of Religion 11 (4):61-86.
    In The Future of Human Nature, Jürgen Habermas raises the question of whether the embryonic genetic diagnosis and genetic modification threatens the foundations of the species ethics that underlies current understandings of morality. While morality, in the normative sense, is based on moral interactions enabling communicative action, justification, and reciprocal respect, the reification involved in the new technologies may preclude individuals to uphold a sense of the undisposability of human life and the inviolability of human beings (...)
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  49. AI Decision Making with Dignity? Contrasting Workers’ Justice Perceptions of Human and AI Decision Making in a Human Resource Management Context.Sarah Bankins, Paul Formosa, Yannick Griep & Deborah Richards - forthcoming - Information Systems Frontiers.
    Using artificial intelligence (AI) to make decisions in human resource management (HRM) raises questions of how fair employees perceive these decisions to be and whether they experience respectful treatment (i.e., interactional justice). In this experimental survey study with open-ended qualitative questions, we examine decision making in six HRM functions and manipulate the decision maker (AI or human) and decision valence (positive or negative) to determine their impact on individuals’ experiences of interactional justice, trust, dehumanization, and perceptions of decision-maker (...)
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  50. Nietzsche's Three Metamorphoses and Their Relevance to Artificial Intelligence Development.Beni Beeri Issembert - unknown
    This opinion paper delves into the philosophical underpinnings and implications of artificial intelligence (AI) development through the lens of Friedrich Nietzsche's "Three Metamorphoses," exploring the stages from the camel, through the lion, to the envisioned child phase within the AI context. Amidst growing concerns over AI's ethical ramifications, including job displacement, biased decision-making, and misuse potential, this analysis seeks to provide a comprehensive framework for understanding AI's evolution and its socio-technical effects on society. The discourse begins by contextualizing AI (...)
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